{"id":"https://openalex.org/W2755111416","doi":"https://doi.org/10.1186/s12859-017-1835-1","title":"Improving contig binning of metagenomic data using $$ {d}_2^S $$ oligonucleotide frequency dissimilarity","display_name":"Improving contig binning of metagenomic data using $$ {d}_2^S $$ oligonucleotide frequency dissimilarity","publication_year":2017,"publication_date":"2017-09-20","ids":{"openalex":"https://openalex.org/W2755111416","doi":"https://doi.org/10.1186/s12859-017-1835-1","mag":"2755111416","pmid":"https://pubmed.ncbi.nlm.nih.gov/28931373"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-017-1835-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1835-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1835-1","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1835-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115695367","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0001-8766-5950"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Wang","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, Fujian 361005 China","Department of Automation, Xiamen University, Xiamen, Fujian, 361005, China"],"raw_orcid":"https://orcid.org/0000-0001-8766-5950","affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, Fujian 361005 China","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"]},{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, Fujian, 361005, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366590","display_name":"Kun Wang","orcid":"https://orcid.org/0000-0001-6059-6529"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Wang","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, Fujian 361005 China","Department of Automation, Xiamen University, Xiamen, Fujian, 361005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, Fujian 361005 China","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"]},{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, Fujian, 361005, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101935781","display_name":"Yang Young Lu","orcid":"https://orcid.org/0000-0003-1686-5917"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Young Lu","raw_affiliation_strings":["Molecular and Computational Biology Program, University of Southern California, Los Angeles, California, CA 90089 USA","Molecular and Computational Biology Program, University of Southern California, Los Angeles, California, CA, 90089, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Molecular and Computational Biology Program, University of Southern California, Los Angeles, California, CA 90089 USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Molecular and Computational Biology Program, University of Southern California, Los Angeles, California, CA, 90089, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022255550","display_name":"Fengzhu Sun","orcid":"https://orcid.org/0000-0002-8552-043X"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Fengzhu Sun","raw_affiliation_strings":["Center for Computational Systems Biology, Fudan University, Shanghai, 200433 China","Molecular and Computational Biology Program, University of Southern California, Los Angeles, California, CA 90089 USA","Molecular and Computational Biology Program, University of Southern California, Los Angeles, California, CA, 90089, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computational Systems Biology, Fudan University, Shanghai, 200433 China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Molecular and Computational Biology Program, University of Southern California, Los Angeles, California, CA 90089 USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Molecular and Computational Biology Program, University of Southern California, Los Angeles, California, CA, 90089, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022255550","https://openalex.org/A5115695367"],"corresponding_institution_ids":["https://openalex.org/I1174212","https://openalex.org/I191208505","https://openalex.org/I24943067","https://openalex.org/I75867142"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":1.1154,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.76979047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"18","issue":"1","first_page":"425","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.7906000018119812,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.7906000018119812,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10066","display_name":"Gut microbiota and health","score":0.11959999799728394,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11791","display_name":"Microbial Community Ecology and Physiology","score":0.02250000089406967,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contig","display_name":"Contig","score":0.9339865446090698},{"id":"https://openalex.org/keywords/metagenomics","display_name":"Metagenomics","score":0.8454704284667969},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5648194551467896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5415624976158142},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.5335977673530579},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48777633905410767},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.44214317202568054},{"id":"https://openalex.org/keywords/reference-genome","display_name":"Reference genome","score":0.43655145168304443},{"id":"https://openalex.org/keywords/dna-sequencing","display_name":"DNA sequencing","score":0.42529216408729553},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4063265323638916},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3650001287460327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3277042508125305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3121633529663086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23260027170181274},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.19262048602104187},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.10248905420303345}],"concepts":[{"id":"https://openalex.org/C59582021","wikidata":"https://www.wikidata.org/wiki/Q1128751","display_name":"Contig","level":4,"score":0.9339865446090698},{"id":"https://openalex.org/C15151743","wikidata":"https://www.wikidata.org/wiki/Q903778","display_name":"Metagenomics","level":3,"score":0.8454704284667969},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5648194551467896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5415624976158142},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.5335977673530579},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48777633905410767},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.44214317202568054},{"id":"https://openalex.org/C192953774","wikidata":"https://www.wikidata.org/wiki/Q7307127","display_name":"Reference genome","level":4,"score":0.43655145168304443},{"id":"https://openalex.org/C51679486","wikidata":"https://www.wikidata.org/wiki/Q380546","display_name":"DNA sequencing","level":3,"score":0.42529216408729553},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4063265323638916},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3650001287460327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3277042508125305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3121633529663086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23260027170181274},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.19262048602104187},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.10248905420303345},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005787","descriptor_name":"Gene Frequency","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005787","descriptor_name":"Gene Frequency","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005787","descriptor_name":"Gene Frequency","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005787","descriptor_name":"Gene Frequency","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056186","descriptor_name":"Metagenomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056186","descriptor_name":"Metagenomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056186","descriptor_name":"Metagenomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056186","descriptor_name":"Metagenomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-017-1835-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1835-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1835-1","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:28931373","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28931373","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:c25fd15983df4e0c9e2f7dbe37a4f132","is_oa":true,"landing_page_url":"https://doaj.org/article/c25fd15983df4e0c9e2f7dbe37a4f132","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 18, Iss 1, Pp 1-14 (2017)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5607646","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5607646","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-017-1835-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1835-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1835-1","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3520203852","display_name":"Inference of Markovian Properties of Molecular Sequences Using Shotgun Reads and Applications","funder_award_id":"1518001","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3708314852","display_name":null,"funder_award_id":"OCE1136818","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G415876887","display_name":null,"funder_award_id":"2016 J01316","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G545056270","display_name":null,"funder_award_id":"R01 GM120624","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G5465162521","display_name":null,"funder_award_id":"201606315011","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G5564570098","display_name":null,"funder_award_id":"R01GM120624","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6167263904","display_name":null,"funder_award_id":"61503314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6984167891","display_name":null,"funder_award_id":"DMS-1518001","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6998267762","display_name":null,"funder_award_id":"61673324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2755111416.pdf","grobid_xml":"https://content.openalex.org/works/W2755111416.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1498782169","https://openalex.org/W1878521557","https://openalex.org/W1963979462","https://openalex.org/W1988827980","https://openalex.org/W1997673861","https://openalex.org/W2023829651","https://openalex.org/W2023858439","https://openalex.org/W2048818637","https://openalex.org/W2057215967","https://openalex.org/W2082203850","https://openalex.org/W2086291326","https://openalex.org/W2088775137","https://openalex.org/W2103901746","https://openalex.org/W2110342329","https://openalex.org/W2112364185","https://openalex.org/W2115026474","https://openalex.org/W2116895571","https://openalex.org/W2121291798","https://openalex.org/W2124637227","https://openalex.org/W2126809954","https://openalex.org/W2128124531","https://openalex.org/W2132415967","https://openalex.org/W2134751812","https://openalex.org/W2137896807","https://openalex.org/W2141202455","https://openalex.org/W2145537580","https://openalex.org/W2146281049","https://openalex.org/W2150208009","https://openalex.org/W2156995746","https://openalex.org/W2159954944","https://openalex.org/W2160969485","https://openalex.org/W2162039942","https://openalex.org/W2162210683","https://openalex.org/W2163166295","https://openalex.org/W2224056471","https://openalex.org/W2337508844","https://openalex.org/W2341364667","https://openalex.org/W2553985332","https://openalex.org/W2559100382","https://openalex.org/W2559838906"],"related_works":["https://openalex.org/W2330186985","https://openalex.org/W2950447380","https://openalex.org/W2055448750","https://openalex.org/W2345730070","https://openalex.org/W2107854630","https://openalex.org/W4319294554","https://openalex.org/W3134563641","https://openalex.org/W1986608492","https://openalex.org/W4394186879","https://openalex.org/W4283384467"],"abstract_inverted_index":{"BACKGROUND:":[0],"Metagenomics":[1],"sequencing":[2],"provides":[3],"deep":[4],"insights":[5],"into":[6,17],"microbial":[7,38],"communities.":[8],"To":[9,195],"investigate":[10],"their":[11,29],"taxonomic":[12],"structure,":[13],"binning":[14,23,150,179,206,241,285,298,356],"assembled":[15],"contigs":[16,92,102,159,170,321],"discrete":[18],"clusters":[19],"is":[20,31,188,304,330],"critical.":[21],"Many":[22],"algorithms":[24],"have":[25,70],"been":[26],"developed,":[27],"but":[28,61,78],"performance":[30,198,254,286],"not":[32,83,155],"always":[33],"satisfactory,":[34],"especially":[35],"for":[36,41,181,349],"complex":[37],"communities,":[39],"calling":[40],"further":[42],"development.":[43],"RESULTS:":[44],"According":[45],"to":[46,90,113,157,168,224,238,333,344,353],"previous":[47],"studies,":[48],"relative":[49,94,327],"sequence":[50,85,212,218,328],"compositions":[51],"are":[52],"similar":[53],"across":[54],"different":[55,209],"regions":[56],"of":[57,75,129,177,199,211,217,272,290,322],"the":[58,72,115,126,130,175,197,215,240,252,262,270,284,318,335],"same":[59],"genome,":[60],"they":[62],"differ":[63],"between":[64,101,117,143,320],"distinct":[65],"genomes.":[66,132],"Generally,":[67],"current":[68],"tools":[69,151,180,207,348],"used":[71,205],"normalized":[73],"frequency":[74],"k-tuples":[76],"directly,":[77],"this":[79],"represents":[80],"an":[81],"absolute,":[82],"relative,":[84],"composition.":[86],"Therefore,":[87],"we":[88,153,163],"attempted":[89],"model":[91],"using":[93,103],"k-tuple":[95],"composition,":[96],"followed":[97],"by":[98],"measuring":[99],"dissimilarity":[100,116,319],"[Formula:":[104,108,165,200,233,247,280,301,313,338],"see":[105,109,166,201,234,248,281,302,314,339],"text].":[106],"The":[107,186,300,337],"text]":[110,167,235,249,282,303,315,340],"was":[111,135,236],"designed":[112],"measure":[114],"two":[118],"long":[119],"sequences":[120],"or":[121,214],"Next-Generation":[122],"Sequencing":[123],"data":[124],"with":[125,208,255,296],"Markov":[127],"models":[128],"background":[131,267],"This":[133],"method":[134],"effective":[136],"in":[137,287],"revealing":[138],"group":[139],"and":[140,146,190,220,228,275,325],"gradient":[141],"relationships":[142],"genomes,":[144],"metagenomes":[145],"metatranscriptomes.":[147],"With":[148],"many":[149],"available,":[152],"do":[154],"try":[156],"bin":[158,225,334],"from":[160],"scratch.":[161],"Instead,":[162],"developed":[164],"adjust":[169,239],"among":[171],"bins":[172],"based":[173],"on":[174,193],"output":[176],"existing":[178,346],"a":[182],"single":[183,350],"metagenomic":[184,323,351],"sample.":[185],"tool":[187],"taxonomy-free":[189],"depends":[191],"only":[192],"k-tuples.":[194],"evaluate":[196],"text],":[202],"five":[203],"widely":[204],"strategies":[210],"composition":[213,219,329],"hybrid":[216],"abundance":[221],"were":[222],"selected":[223],"six":[226],"synthetic":[227],"real":[229],"datasets,":[230],"after":[231],"which":[232],"applied":[237,343],"results.":[242,357],"Our":[243],"experiments":[244,293],"showed":[245,311],"that":[246,312,326],"consistently":[250],"achieves":[251],"best":[253],"tuple":[256],"length":[257],"k":[258],"=":[259],"6":[260],"under":[261],"independent":[263],"identically":[264],"distributed":[265],"(i.i.d.)":[266],"model.":[268],"Using":[269],"metrics":[271],"recall,":[273],"precision":[274],"ARI":[276],"(Adjusted":[277],"Rand":[278],"Index),":[279],"improves":[283],"28":[288],"out":[289],"30":[291],"testing":[292],"(6":[294],"datasets":[295],"5":[297],"tools).":[299],"available":[305],"at":[306],"https://github.com/kunWangkun/d2SBin":[307],".":[308],"CONCLUSIONS:":[309],"Experiments":[310],"accurately":[316],"measures":[317],"reads":[324],"more":[331],"reasonable":[332],"contigs.":[336],"can":[341],"be":[342],"any":[345],"contig-binning":[347],"samples":[352],"obtain":[354],"better":[355]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2017-09-25T00:00:00"}